Triple
T22521063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maʿadd |
E556775
|
entity |
| Predicate | roleInUrbanHistory |
P80580
|
FINISHED |
| Object | founder of Cairo as Fatimid capital |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: founder of Cairo as Fatimid capital | Statement: [Maʿadd, roleInUrbanHistory, founder of Cairo as Fatimid capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInUrbanHistory Context triple: [Maʿadd, roleInUrbanHistory, founder of Cairo as Fatimid capital]
-
A.
urbanHistoryFeature
chosen
Indicates a feature that plays a significant role in the historical development, events, or evolution of an urban area.
-
B.
focusCityHistory
Indicates that there is a historical or context-defining relationship between a focal city and its past events, developments, or status.
-
C.
roleInHumanHistory
Indicates the function, influence, or significance that an entity has had within the course of human history.
-
D.
historicallyRich
Indicates that an entity possesses significant historical depth, importance, or a wealth of notable past events and heritage.
-
E.
historicalInterest
Indicates that one entity has a notable relevance, appeal, or significance to the study or understanding of the past.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15e32b8a88190ac335d4298dd5ee3 |
completed | April 29, 2026, 1:26 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:50 p.m.